SEEKING:  Artificial Intelligence Architect

We are looking for an Artificial Intelligence (AI) Architect with 5+ years of experience in AI and systems architecture.

Experience in both, traditional AI and generative AI to design and lead the implementation of scalable, robust, and efficient solutions. He/She will be responsible for defining the architecture of solutions based on machine learning, deep learning, and generative AI, ensuring their alignment with business needs and industry best practices.

Proceeds:

• Opportunity to work on innovative AI projects across multiple sectors.
• Continuous training plan in emerging technologies.
• Dynamic environment with high-level technical teams.

TASKS & RESPONSABILITIES

● Design architectures for AI solutions that integrate traditional (Machine Learning, Deep Learning) and generative (LLMs, Diffusion Models, GANs) models.
● Define AI implementation strategies in business environments, ensuring scalability, efficiency, and regulatory compliance.
● Select and evaluate technologies, frameworks, and tools to optimize the development and deployment of AI models.
● Integrate AI solutions with cloud architectures using hyperscale services (AWS, GCP, Azure).
● Monitor the full lifecycle of AI models, from experimentation to production with MLOps, AIOps, or GenAIOps practices
● Ensure data governance, including quality, security, and regulatory compliance (GDPR, HIPAA, etc.).
● Lead multidisciplinary teams in the development of AI-based solutions.
● Continuously evaluate new AI technologies and their applicability in the business.
● Optimize cloud AI infrastructure costs, ensuring a balance between performance and budget.
● Establish best practices in the development, implementation, and monitoring of AI models.

EXPERIENCE, KNOWLEDGE & SKILLS :
● More than 5 years of experience in AI solution architecture, including generative AI.
● Advanced knowledge of AI frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain.
● Experience in generative AI, including LLMs (GPT, LLaMA, Claude) and diffusion models (Stable Diffusion, DALL· E).
● Proficiency in data processing with tools such as Pandas, Spark, and SQL/NoSQL databases.
● Knowledge in vector databases and Generation Augmented Retrieval (RAG) systems.
● Cloud AI Services Expertise:
► AWS: SageMaker, Bedrock, Comprehend, Rekognition.
► Azure: Azure Machine Learning, OpenAI Service, Cognitive Services.
► Google Cloud: Vertex AI, AutoML, Generative AI Studio.
● Knowledge in MLOps (CI/CD for models, MLflow, Kubeflow, Docker, Kubernetes).
● Experience in developing AI APIs for internal and external consumption.
● Familiarity with production model optimization techniques (quantization, pruning, distillation).
● Technical leadership skills and communication with stakeholders from different areas.

Desirable:

● Experience in hybrid architectures (Edge AI, on-premise + cloud).
● Certifications in AWS, Azure or GCP in Machine Learning / AI.
● AI publications or contributions to the open-source community.
Proceeds:

EDUCATION :

● Degree in Computer Science, Systems Engineering, Mathematics, or a related field.

LANGUAGE :

● Fluent in English- C1 (speaking and writing)

WE OFFER: 

·         Full-time Freelance contract

·         Rate: €280/€330 per day + VAT (according to the experience provided)

·         Long-Term Project

·         Location: Madrid – Hybrid: In person 1 day per week

·         Desired start date: ASAP